Business communities in the United States are facing high demand for human resources, but one of the constant challenges is identifying and attracting the right talent, which is perhaps the most important element in remaining competitive. Companies in the United States look for hard-working, talented, and qualified individuals both locally as well as abroad.
The Immigration and Nationality Act (INA) of the US permits foreign workers to come to the United States to work on either a temporary or permanent basis. The act also protects US workers against adverse impacts on their wages or working conditions by ensuring US employers' compliance with statutory requirements when they hire foreign workers to fill workforce shortages. The immigration programs are administered by the Office of Foreign Labor Certification (OFLC).
OFLC processes job certification applications for employers seeking to bring foreign workers into the United States and grants certifications in those cases where employers can demonstrate that there are not sufficient US workers available to perform the work at wages that meet or exceed the wage paid for the occupation in the area of intended employment.
In FY 2016, the OFLC processed 775,979 employer applications for 1,699,957 positions for temporary and permanent labor certifications. This was a nine percent increase in the overall number of processed applications from the previous year. The process of reviewing every case is becoming a tedious task as the number of applicants is increasing every year.
The increasing number of applicants every year calls for a Machine Learning based solution that can help in shortlisting the candidates having higher chances of VISA approval. OFLC has hired your firm EasyVisa for data-driven solutions. You as a data scientist have to analyze the data provided and, with the help of a classification model:
The data contains the different attributes of the employee and the employer. The detailed data dictionary is given below.
# Library to suppress warnings or deprecation notes
import warnings
warnings.filterwarnings('ignore')
# Libraries to help with reading and manipulating data
import numpy as np
import pandas as pd
# Libraries to help with data visualization
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
# Library to split data
from sklearn.model_selection import train_test_split
# Libraries to import decision tree classifier and different ensemble classifiers
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeRegressor
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import BaggingRegressor,RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor, StackingRegressor
from xgboost import XGBRegressor
from sklearn import metrics
from sklearn.model_selection import GridSearchCV, train_test_split
from sklearn.metrics import (
f1_score,
accuracy_score,
recall_score,
precision_score,
make_scorer,
confusion_matrix,
)
# Library for building and showing decision tree models
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import plot_tree
# Library for Bagging ensemble technique
from sklearn.ensemble import BaggingClassifier
# Library for Random Forest ensemble technique
from sklearn.ensemble import RandomForestClassifier
# Library for AdaBoost ensemble technique
from sklearn.ensemble import AdaBoostClassifier
# Library for Gradient Boosting ensemble technique
from sklearn.ensemble import GradientBoostingClassifier
# Library for XGBoost ensemble technique
from xgboost import XGBClassifier
# Library for Stacking ensemble technique
from sklearn.ensemble import StackingClassifier
# Libtune to tune model, get different metric scores
from sklearn import metrics
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, precision_score, recall_score,f1_score,roc_auc_score
from sklearn.model_selection import GridSearchCV
visa=pd.read_csv("EasyVisa.csv")
vs=visa.copy()
vs.head()
| case_id | continent | education_of_employee | has_job_experience | requires_job_training | no_of_employees | yr_of_estab | region_of_employment | prevailing_wage | unit_of_wage | full_time_position | case_status | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | EZYV01 | Asia | High School | N | N | 14513 | 2007 | West | 592.2029 | Hour | Y | Denied |
| 1 | EZYV02 | Asia | Master's | Y | N | 2412 | 2002 | Northeast | 83425.6500 | Year | Y | Certified |
| 2 | EZYV03 | Asia | Bachelor's | N | Y | 44444 | 2008 | West | 122996.8600 | Year | Y | Denied |
| 3 | EZYV04 | Asia | Bachelor's | N | N | 98 | 1897 | West | 83434.0300 | Year | Y | Denied |
| 4 | EZYV05 | Africa | Master's | Y | N | 1082 | 2005 | South | 149907.3900 | Year | Y | Certified |
vs.tail()
| case_id | continent | education_of_employee | has_job_experience | requires_job_training | no_of_employees | yr_of_estab | region_of_employment | prevailing_wage | unit_of_wage | full_time_position | case_status | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25475 | EZYV25476 | Asia | Bachelor's | Y | Y | 2601 | 2008 | South | 77092.57 | Year | Y | Certified |
| 25476 | EZYV25477 | Asia | High School | Y | N | 3274 | 2006 | Northeast | 279174.79 | Year | Y | Certified |
| 25477 | EZYV25478 | Asia | Master's | Y | N | 1121 | 1910 | South | 146298.85 | Year | N | Certified |
| 25478 | EZYV25479 | Asia | Master's | Y | Y | 1918 | 1887 | West | 86154.77 | Year | Y | Certified |
| 25479 | EZYV25480 | Asia | Bachelor's | Y | N | 3195 | 1960 | Midwest | 70876.91 | Year | Y | Certified |
vs.shape
(25480, 12)
vs.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 25480 entries, 0 to 25479 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 case_id 25480 non-null object 1 continent 25480 non-null object 2 education_of_employee 25480 non-null object 3 has_job_experience 25480 non-null object 4 requires_job_training 25480 non-null object 5 no_of_employees 25480 non-null int64 6 yr_of_estab 25480 non-null int64 7 region_of_employment 25480 non-null object 8 prevailing_wage 25480 non-null float64 9 unit_of_wage 25480 non-null object 10 full_time_position 25480 non-null object 11 case_status 25480 non-null object dtypes: float64(1), int64(2), object(9) memory usage: 2.3+ MB
We can see that there are total of 12 columns and 25480 rows in the dataset. All columns' data type is either object, integer or float. The number of non-null values of each column is equal to the number of total rows in the dataset i.e. no null value. We can further confirm this using isna() method.
vs.isna().sum()
case_id 0 continent 0 education_of_employee 0 has_job_experience 0 requires_job_training 0 no_of_employees 0 yr_of_estab 0 region_of_employment 0 prevailing_wage 0 unit_of_wage 0 full_time_position 0 case_status 0 dtype: int64
object values exist
vs.describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| no_of_employees | 25480.0 | 5667.043210 | 22877.928848 | -26.0000 | 1022.00 | 2109.00 | 3504.0000 | 602069.00 |
| yr_of_estab | 25480.0 | 1979.409929 | 42.366929 | 1800.0000 | 1976.00 | 1997.00 | 2005.0000 | 2016.00 |
| prevailing_wage | 25480.0 | 74455.814592 | 52815.942327 | 2.1367 | 34015.48 | 70308.21 | 107735.5125 | 319210.27 |
The mean and median value of yr_of_estab is approx around 1976-1979 The mean and median value for 'prevailing_wage' is approx 70k and 75k respectively
vs.nunique()
case_id 25480 continent 6 education_of_employee 4 has_job_experience 2 requires_job_training 2 no_of_employees 7105 yr_of_estab 199 region_of_employment 5 prevailing_wage 25454 unit_of_wage 4 full_time_position 2 case_status 2 dtype: int64
We can drop 'case_id' column as it is an ID variable and will not add value to the model.
File "/var/folders/m2/gjh630753mlgsstjvttk3tcc0000gn/T/ipykernel_81020/3689040037.py", line 1 We can drop 'case_id' column as it is an ID variable and will not add value to the model. ^ SyntaxError: invalid syntax
cat_cols=['continent','education_of_employee','has_job_experience','requires_job_training','case_status']
for column in cat_cols:
print(vs[column].value_counts())
print('-'*30)
Asia 16861 Europe 3732 North America 3292 South America 852 Africa 551 Oceania 192 Name: continent, dtype: int64 ------------------------------ Bachelor's 10234 Master's 9634 High School 3420 Doctorate 2192 Name: education_of_employee, dtype: int64 ------------------------------ Y 14802 N 10678 Name: has_job_experience, dtype: int64 ------------------------------ N 22525 Y 2955 Name: requires_job_training, dtype: int64 ------------------------------ Certified 17018 Denied 8462 Name: case_status, dtype: int64 ------------------------------
def histogram_boxplot(data, feature, figsize=(15, 10), kde=False, bins=None):
"""
Boxplot and histogram combined
data: dataframe
feature: dataframe column
figsize: size of figure (default (15,10))
kde: whether to show the density curve (default False)
bins: number of bins for histogram (default None)
"""
f2, (ax_box2, ax_hist2) = plt.subplots(
nrows=2, # Number of rows of the subplot grid= 2
sharex=True, # x-axis will be shared among all subplots
gridspec_kw={"height_ratios": (0.25, 0.75)},
figsize=figsize,
) # creating the 2 subplots
sns.boxplot(
data=data, x=feature, ax=ax_box2, showmeans=True, color="violet"
) # boxplot will be created and a triangle will indicate the mean value of the column
sns.histplot(
data=data, x=feature, kde=kde, ax=ax_hist2, bins=bins
) if bins else sns.histplot(
data=data, x=feature, kde=kde, ax=ax_hist2
) # For histogram
ax_hist2.axvline(
data[feature].mean(), color="green", linestyle="--"
) # Add mean to the histogram
ax_hist2.axvline(
data[feature].median(), color="black", linestyle="-"
) # Add median to the histogram
# function to create labeled barplots
def labeled_barplot(data, feature, perc=False, n=None):
"""
Barplot with percentage at the top
data: dataframe
feature: dataframe column
perc: whether to display percentages instead of count (default is False)
n: displays the top n category levels (default is None, i.e., display all levels)
"""
total = len(data[feature]) # length of the column
count = data[feature].nunique()
if n is None:
plt.figure(figsize=(count + 2, 6))
else:
plt.figure(figsize=(n + 2, 6))
plt.xticks(rotation=90, fontsize=15)
ax = sns.countplot(
data=data,
x=feature,
palette="Paired",
order=data[feature].value_counts().index[:n],
)
for p in ax.patches:
if perc == True:
label = "{:.1f}%".format(
100 * p.get_height() / total
) # percentage of each class of the category
else:
label = p.get_height() # count of each level of the category
x = p.get_x() + p.get_width() / 2 # width of the plot
y = p.get_height() # height of the plot
ax.annotate(
label,
(x, y),
ha="center",
va="center",
size=12,
xytext=(0, 5),
textcoords="offset points",
) # annotate the percentage
plt.show() # show the plot
# User-defined function to plot a stacked barplot
def stacked_barplot(data, predictor, target, xlabel, ylabel):
"""
Print the category counts and plot a stacked bar chart
data: dataframe
predictor: independent variable
target: target variable
xlabel: label of x-axis
ylabel: label of y-axis
"""
count = data[predictor].nunique()
sorter = data[target].value_counts().index[-1]
tab1 = pd.crosstab(data[predictor], data[target], margins=True).sort_values(
by=sorter, ascending=False
)
print(tab1)
print("-" * 120)
tab = pd.crosstab(data[predictor], data[target], normalize="index").sort_values(
by=sorter, ascending=False
)
tab.plot(kind="bar", stacked=True, figsize=(count + 2, 4))
plt.legend(loc="upper left", bbox_to_anchor=(1, 1), fontsize=16)
plt.xlabel(xlabel, fontsize=16)
plt.ylabel(ylabel, fontsize=16)
plt.xticks(fontsize=14)
plt.yticks(fontsize=14)
plt.show()
# User-defined function to plot a boxplot and a histogram along the same scale
def histogram_boxplot(
data, feature, xlabel, ylabel, figsize=(8, 6), kde=False, bins=None
):
"""
Boxplot and histogram combined
data: dataframe
feature: dataframe column
xlabel: label of x-axis
ylabel: label of y-axis
figsize: size of figure (default (8, 6))
kde: whether to show the density curve (default False)
bins: number of bins for histogram (default None)
"""
f2, (ax_box2, ax_hist2) = plt.subplots(
nrows=2, # Number of rows of the subplot grid= 2
sharex=True, # x-axis will be shared among all subplots
gridspec_kw={"height_ratios": (0.25, 0.75)},
figsize=figsize,
) # creating the 2 subplots
sns.boxplot(
data=data, x=feature, ax=ax_box2, showmeans=True, color="orange"
) # boxplot will be created and a star will indicate the mean value of the column
sns.histplot(
data=data, x=feature, kde=kde, ax=ax_hist2, bins=bins, palette="Set2"
) if bins else sns.histplot(
data=data, x=feature, kde=kde, ax=ax_hist2
) # For histogram
ax_hist2.axvline(
data[feature].mean(), color="green", linestyle="--"
) # Add mean to the histogram
ax_hist2.axvline(
data[feature].median(), color="red", linestyle="-"
) # Add median to the histogram
ax_box2.set_xlabel("", fontsize=16) # remove label of 1st x-axis
ax_hist2.set_xlabel(xlabel, fontsize=16) # set 2nd x-axis label
ax_hist2.set_ylabel(ylabel, fontsize=16)
# set y-axis label
histogram_boxplot(
data=vs,
feature="prevailing_wage",
xlabel="Wage",
ylabel="Number of Applications",
kde=True,
bins=40,)
labeled_barplot(vs,'continent')
As we noticed before no of applications from Asia are more compared to other continents.
Correlation Check
sns.set(rc={'figure.figsize':(16,10)})
sns.heatmap(vs.corr(),
annot=True,
linewidths=.5,
center=0,
cbar=False,
cmap="Spectral")
plt.show()
correlation check is not giving us much information here , lets explore this again after treating the data.
Leading Questions:
Those with higher education may want to travel abroad for a well-paid job. Does education play a role in Visa certification?
How does the visa status vary across different continents?
Experienced professionals might look abroad for opportunities to improve their lifestyles and career development. Does work experience influence visa status?
In the United States, employees are paid at different intervals. Which pay unit is most likely to be certified for a visa?
The US government has established a prevailing wage to protect local talent and foreign workers. How does the visa status change with the prevailing wage?
labeled_barplot(vs, "education_of_employee", perc=True)
contingency_table = pd.crosstab(vs.education_of_employee, vs.case_status)
contingency_table
| case_status | Certified | Denied |
|---|---|---|
| education_of_employee | ||
| Bachelor's | 6367 | 3867 |
| Doctorate | 1912 | 280 |
| High School | 1164 | 2256 |
| Master's | 7575 | 2059 |
vs['case_status_binary'] = np.where(vs['case_status']=='Certified',1,0)
sns.catplot(data=vs, x="education_of_employee", y="case_status_binary", hue="education_of_employee", kind="bar")
<seaborn.axisgrid.FacetGrid at 0x7fc733662c10>
Doctorte degrees and masters degrees have higher chance of getting your case certified.
continents visa status
labeled_barplot(vs, "continent", perc=True)
Asia continent has more number of applications.
sns.catplot(data=vs, x="continent", y="case_status_binary", hue="continent", kind="bar")
plt.xticks(rotation='vertical')
(array([0, 1, 2, 3, 4, 5]), [Text(0, 0, 'Asia'), Text(1, 0, 'Africa'), Text(2, 0, 'North America'), Text(3, 0, 'Europe'), Text(4, 0, 'South America'), Text(5, 0, 'Oceania')])
However, no of applications that are approved are more for europe continent
sns.catplot(data=vs, x="has_job_experience", y="case_status_binary", hue="has_job_experience", kind="bar")
plt.xticks(rotation='vertical')
(array([0, 1]), [Text(0, 0, 'N'), Text(1, 0, 'Y')])
Applicants who have job experience have higher chance of getting approved compared to someone who has no experience.
sns.catplot(data=vs, x="unit_of_wage", y="case_status_binary", hue="unit_of_wage", kind="bar")
plt.xticks(rotation='vertical')
(array([0, 1, 2, 3]), [Text(0, 0, 'Hour'), Text(1, 0, 'Year'), Text(2, 0, 'Week'), Text(3, 0, 'Month')])
Yearly pay unit has more preference over the rest for the applications that have got certified
vs.dtypes
case_id object continent object education_of_employee object has_job_experience object requires_job_training object no_of_employees int64 yr_of_estab int64 region_of_employment object prevailing_wage float64 unit_of_wage object full_time_position object case_status object case_status_binary int64 dtype: object
sns.catplot(data=vs, x="case_status_binary", y="prevailing_wage", hue="case_status_binary", kind="bar")
plt.xticks(rotation='vertical')
(array([0, 1]), [Text(0, 0, '0'), Text(1, 0, '1')])
Prevailing wage above 70k have higher chance in getting case certified.
# outlier detection using boxplot
numeric_columns = vs.select_dtypes(include=np.number).columns.tolist()
plt.figure(figsize=(15, 12))
for i, variable in enumerate(numeric_columns):
plt.subplot(4, 4, i + 1)
plt.boxplot(vs[variable], whis=1.5)
plt.tight_layout()
plt.title(variable)
plt.show()
We can drop case_id variable and will not add value to the model.
#Dropping two columns from the dataframe
vs.drop(columns=['case_id'], inplace=True)
# Identify rows with non-positive no_of_employees
neg_employee_no_rows = vs.no_of_employees <= 0
# Print number of rows with non-positive no_of_employees
print(
f"There are {neg_employee_no_rows.sum()} rows with non-positive number of employees."
)
# Replace negative values in column no_of_employees with its median
vs.loc[neg_employee_no_rows, "no_of_employees"] = vs.no_of_employees.median()
# Double-check minimum value of no_of_employees
print(f"The new minimum number of employees is {vs.no_of_employees.min()}.")
There are 33 rows with non-positive number of employees. The new minimum number of employees is 12.
vs["yr_of_estab"].unique()
array([2007, 2002, 2008, 1897, 2005, 2012, 1994, 1924, 1995, 2004, 1963,
2006, 1987, 1991, 2001, 1972, 2013, 1968, 1884, 1981, 1997, 2009,
1998, 1880, 2000, 2010, 1965, 1909, 2011, 1989, 1933, 1960, 2003,
1976, 1996, 1847, 1935, 1890, 1999, 1838, 1947, 1939, 1970, 1977,
1982, 1943, 1956, 1864, 1974, 1985, 1984, 1971, 1913, 1969, 1818,
1839, 1914, 1988, 1944, 1855, 1975, 1966, 1801, 1920, 1925, 1993,
1992, 1979, 1986, 1931, 1962, 1954, 1868, 1859, 1946, 1950, 1869,
1917, 2014, 1980, 1896, 1949, 1843, 1850, 1906, 1961, 1951, 1958,
1912, 1983, 1948, 1945, 1978, 1898, 1923, 1911, 1851, 1865, 1849,
1872, 1967, 1926, 1873, 1848, 2015, 1889, 1876, 1852, 1938, 1973,
1959, 1927, 1990, 1930, 1922, 1940, 1878, 1934, 1834, 1928, 1800,
1861, 1952, 1846, 1885, 1907, 1817, 1841, 1821, 1953, 1888, 1916,
1886, 2016, 1932, 1915, 1937, 1866, 1919, 1921, 1910, 1854, 1875,
1904, 1879, 1942, 1964, 1899, 1900, 1837, 1887, 1929, 1936, 1857,
1877, 1918, 1902, 1804, 1823, 1893, 1908, 1833, 1941, 1867, 1836,
1871, 1881, 1840, 1957, 1856, 1845, 1863, 1955, 1858, 1874, 1892,
1853, 1894, 1883, 1860, 1819, 1905, 1831, 1882, 1870, 1901, 1895,
1824, 1862, 1807, 1832, 1822, 1903, 1810, 1820, 1809, 1891, 1830,
1842])
# Use user-defined function histogram_boxplot() to examine distribution of data
histogram_boxplot(
data=vs,
feature="yr_of_estab",
xlabel="Years Since Establishment",
ylabel="Number of Applications",
kde=True,
bins=40,
)
Years since Established is left skewed with most of number of outliers exisitng on left side. We can also notice here that the organizations that are established around and after 2000 year have more number of applications.
# Create a list of column names including numeric data
num_cols = vs.select_dtypes(include=np.number).columns.tolist()
# Add case_status to list of column names including numeric data
num_cols = num_cols + ["case_status"]
# Create a pairplot to see distributions of and relationships between variations of numeric data
sns.pairplot(data=vs[num_cols], hue="case_status", diag_kind="kde", aspect=1)
<seaborn.axisgrid.PairGrid at 0x7fc70069d6a0>
for feature in vs.columns:
if vs[feature].dtype == 'category':
vs[feature]=vs[feature].astype[int]
vs.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 25480 entries, 0 to 25479 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 continent 25480 non-null object 1 education_of_employee 25480 non-null object 2 has_job_experience 25480 non-null object 3 requires_job_training 25480 non-null object 4 no_of_employees 25480 non-null int64 5 yr_of_estab 25480 non-null int64 6 region_of_employment 25480 non-null object 7 prevailing_wage 25480 non-null float64 8 unit_of_wage 25480 non-null object 9 full_time_position 25480 non-null object 10 case_status 25480 non-null object 11 case_status_binary 25480 non-null int64 dtypes: float64(1), int64(3), object(8) memory usage: 2.3+ MB
# Separating features and the target column
X = vs.drop(['case_status_binary','case_status'], axis=1)
y = vs.case_status_binary
# creating dummy variables
X = pd.get_dummies(X, drop_first=True)
# Splitting the data into train and test sets in 70:30 ratio
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=1, shuffle=True)
X_train.shape, X_test.shape
((17836, 21), (7644, 21))
X_train
| no_of_employees | yr_of_estab | prevailing_wage | continent_Asia | continent_Europe | continent_North America | continent_Oceania | continent_South America | education_of_employee_Doctorate | education_of_employee_High School | ... | has_job_experience_Y | requires_job_training_Y | region_of_employment_Midwest | region_of_employment_Northeast | region_of_employment_South | region_of_employment_West | unit_of_wage_Month | unit_of_wage_Week | unit_of_wage_Year | full_time_position_Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18177 | 2727 | 1988 | 50739.740 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 |
| 20291 | 2076 | 2006 | 127247.750 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| 21717 | 3206 | 2010 | 349.994 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ... | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 6351 | 2407 | 2005 | 45798.750 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | ... | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 |
| 7312 | 432 | 1913 | 90318.460 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | ... | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 10955 | 497 | 2013 | 108175.410 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 17289 | 2610 | 2007 | 146773.450 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 5192 | 1774 | 1976 | 159577.430 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 12172 | 1407 | 1994 | 137.690 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 235 | 2147 | 1986 | 87390.540 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | ... | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
17836 rows × 21 columns
y_train
18177 1
20291 1
21717 0
6351 1
7312 1
..
10955 1
17289 1
5192 0
12172 1
235 0
Name: case_status_binary, Length: 17836, dtype: int64
y_test
17639 1
23951 1
8625 1
20206 1
7471 0
..
7040 0
495 0
12559 1
15050 1
12490 1
Name: case_status_binary, Length: 7644, dtype: int64
# Use function DecisionTreeClassifier from sklearn to build model - consider `gini` criterion to split data at nodes
dtree = DecisionTreeClassifier(criterion="gini", random_state=1)
dtree.fit(X_train, y_train)
DecisionTreeClassifier(random_state=1)
X_train
| no_of_employees | yr_of_estab | prevailing_wage | continent_Asia | continent_Europe | continent_North America | continent_Oceania | continent_South America | education_of_employee_Doctorate | education_of_employee_High School | ... | has_job_experience_Y | requires_job_training_Y | region_of_employment_Midwest | region_of_employment_Northeast | region_of_employment_South | region_of_employment_West | unit_of_wage_Month | unit_of_wage_Week | unit_of_wage_Year | full_time_position_Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18177 | 2727 | 1988 | 50739.740 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 |
| 20291 | 2076 | 2006 | 127247.750 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
| 21717 | 3206 | 2010 | 349.994 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ... | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| 6351 | 2407 | 2005 | 45798.750 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | ... | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 |
| 7312 | 432 | 1913 | 90318.460 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | ... | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 10955 | 497 | 2013 | 108175.410 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 17289 | 2610 | 2007 | 146773.450 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 5192 | 1774 | 1976 | 159577.430 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 12172 | 1407 | 1994 | 137.690 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| 235 | 2147 | 1986 | 87390.540 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | ... | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
17836 rows × 21 columns
# User-defined function to compute different performance metrics to evaluate a classification model built using sklearn
def get_metrics_score(model, flag=True):
"""
model: classifier to predict values of Y
"""
# Predict Y using independent variables
pred_train = model.predict(X_train)
pred_test = model.predict(X_test)
# Compute performance metrics
train_acc = accuracy_score(y_train, pred_train) # accuracy
test_acc = accuracy_score(y_test, pred_test)
train_recall = recall_score(y_train, pred_train) # recall
test_recall = recall_score(y_test, pred_test)
train_precision = precision_score(y_train, pred_train) # precision
test_precision = precision_score(y_test, pred_test)
train_f1 = f1_score(y_train, pred_train) # f1-score
test_f1 = f1_score(y_test, pred_test)
# Create a dataframe of metrics
df_perf = pd.DataFrame(
{
"Accuracy": [train_acc, test_acc],
"Recall": [train_recall, test_recall],
"Precision": [train_precision, test_precision],
"F1": [train_f1, test_f1],
},
index=["Training", "Test"],
)
return df_perf
# User-defined function to plot the confusion_matrix of a classification model built using sklearn based on test set
def make_confusion_matrix(model):
"""
model: classifier to predict values of Y
"""
y_pred = model.predict(X_test)
cm = confusion_matrix(y_test, y_pred)
labels = np.asarray(
[
["{0:0.0f}".format(item) + "\n{0:.2%}".format(item / cm.flatten().sum())]
for item in cm.flatten()
]
).reshape(2, 2)
plt.figure(figsize=(6, 4))
sns.heatmap(cm, annot=labels, fmt="")
plt.title("Test Set's Confusion Matrix", fontsize=16)
plt.ylabel("Actual Label", fontsize=15)
plt.xlabel("Predicted Label", fontsize=15)
# Create confusion matrix based on test data set
make_confusion_matrix(dtree)
# Check performance of model on both training and test data sets
perf_dcsn_tree = get_metrics_score(dtree)
perf_dcsn_tree
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 1.000000 | 1.000000 | 1.000000 | 1.00000 |
| Test | 0.660911 | 0.739483 | 0.755223 | 0.74727 |
The Decision tree model with default parameters is overfitting the train data. Let's see if we can reduce overfitting and improve performance on test data by tuning hyperparameters.
# Choose type of classifier
dtree_tuned = DecisionTreeClassifier(random_state=1)
# Form grid of parameters to search in
grid_para = {
"class_weight": ["balanced", None],
"max_depth": np.arange(2, 21, 2),
"max_leaf_nodes": np.arange(2, 21, 2),
"min_samples_split": [100, 200, 400, 800],
"min_impurity_decrease": [0.0001, 0.001, 0.01],
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(dtree_tuned, grid_para, scoring=scorer, cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
dtree_tuned = grid_obj.best_estimator_
# Fit best decision tree to training data
dtree_tuned.fit(X_train, y_train)
DecisionTreeClassifier(max_depth=4, max_leaf_nodes=14,
min_impurity_decrease=0.0001, min_samples_split=200,
random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(dtree_tuned)
# Check performance of model on both training and test data sets
perf_tnd_dcsn_tree = get_metrics_score(dtree_tuned)
perf_tnd_dcsn_tree
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.733404 | 0.914329 | 0.743116 | 0.819880 |
| Test | 0.739011 | 0.910459 | 0.755001 | 0.825475 |
We can notice that the model is not overfitting anymore
print(pd.DataFrame(dtree_tuned.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp education_of_employee_High School 0.409805 has_job_experience_Y 0.247649 unit_of_wage_Year 0.099517 prevailing_wage 0.079483 continent_Europe 0.068632 education_of_employee_Master's 0.064915 continent_North America 0.017784 continent_South America 0.006866 education_of_employee_Doctorate 0.005350 region_of_employment_Northeast 0.000000 unit_of_wage_Week 0.000000 unit_of_wage_Month 0.000000 region_of_employment_West 0.000000 region_of_employment_South 0.000000 no_of_employees 0.000000 region_of_employment_Midwest 0.000000 requires_job_training_Y 0.000000 yr_of_estab 0.000000 continent_Oceania 0.000000 continent_Asia 0.000000 full_time_position_Y 0.000000
# Create a list of column names - features of tree
col_names = list(X.columns)
# Check importances of various features of tuned tree
importances = dtree_tuned.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(6, 0.5 * len(col_names)))
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [col_names[i] for i in indices])
plt.xlabel("Relative Importance", fontsize=15)
plt.ylabel("Feature", fontsize=15)
plt.show()
Education of employee(high_School,Masters, Doctorate),having previous job experience , Europe,NorthAmerica and South America continents are given higher importance.
# Use function BaggingClassifier from sklearn to build model
bagging = BaggingClassifier(random_state=1)
bagging.fit(X_train, y_train)
BaggingClassifier(random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(bagging)
# Check performance of model on both training and test data sets
perf_bagging = get_metrics_score(bagging)
perf_bagging
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.984750 | 0.986059 | 0.990915 | 0.988481 |
| Test | 0.705128 | 0.779622 | 0.784161 | 0.781885 |
Bagging is also giving us slightly an overfit model, lets see if hyperparameter tuning can helps us with this overfit.
# Choose type of classifier
tnd_bagging = BaggingClassifier(random_state=1)
# Form grid of parameters to search in
grid_para = {
"max_samples": [0.7, 0.8, 0.9, 1.0],
"max_features": [0.7, 0.8, 0.9, 1.0],
"n_estimators": np.arange(20, 101, 20),
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(tnd_bagging, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
tnd_bagging = grid_obj.best_estimator_
# Fit best decision tree to training data
tnd_bagging.fit(X_train, y_train)
Fitting 5 folds for each of 80 candidates, totalling 400 fits [CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.790 total time= 0.5s [CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.793 total time= 0.4s [CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.801 total time= 0.4s [CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.800 total time= 0.4s [CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.797 total time= 0.4s [CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.801 total time= 0.8s [CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.804 total time= 0.8s [CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.808 total time= 0.8s [CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.806 total time= 0.8s [CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.807 total time= 0.8s [CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.806 total time= 1.2s [CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.803 total time= 1.2s [CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.816 total time= 1.2s [CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.812 total time= 1.2s [CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.809 total time= 1.2s [CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.805 total time= 1.6s [CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.810 total time= 1.7s [CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.816 total time= 1.8s [CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.813 total time= 1.8s [CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.812 total time= 1.7s [CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.806 total time= 2.0s [CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.810 total time= 2.0s [CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.818 total time= 2.0s [CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.813 total time= 2.1s [CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.812 total time= 2.1s [CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time= 0.5s [CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time= 0.5s [CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time= 0.5s [CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.801 total time= 0.5s [CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.801 total time= 0.5s [CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.801 total time= 0.9s [CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.803 total time= 0.9s [CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.803 total time= 0.9s [CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.811 total time= 0.9s [CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.808 total time= 0.9s [CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.801 total time= 1.3s [CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.806 total time= 1.3s [CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.811 total time= 1.3s [CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.814 total time= 1.3s [CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.813 total time= 1.4s [CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.805 total time= 1.8s [CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.808 total time= 2.2s [CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.814 total time= 1.9s [CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.817 total time= 1.8s [CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.815 total time= 1.8s [CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.802 total time= 2.2s [CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.808 total time= 2.2s [CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.815 total time= 2.5s [CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.816 total time= 2.3s [CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.815 total time= 2.3s [CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.792 total time= 0.5s [CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.797 total time= 0.5s [CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.798 total time= 0.5s [CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.795 total time= 0.5s [CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.792 total time= 0.5s [CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.800 total time= 0.9s [CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.803 total time= 1.0s [CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.808 total time= 1.0s [CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.804 total time= 1.0s [CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.803 total time= 1.0s [CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.806 total time= 1.4s [CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.803 total time= 1.4s [CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.813 total time= 1.5s [CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.809 total time= 1.9s [CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.806 total time= 1.6s [CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.806 total time= 1.9s [CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.806 total time= 1.9s [CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.816 total time= 1.9s [CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.812 total time= 1.9s [CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.810 total time= 1.9s [CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.806 total time= 2.4s [CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.808 total time= 2.4s [CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.816 total time= 2.4s [CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.815 total time= 2.4s [CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.813 total time= 2.4s [CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.790 total time= 0.5s [CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.789 total time= 0.5s [CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.803 total time= 0.5s [CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.799 total time= 0.6s [CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.794 total time= 0.5s [CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.801 total time= 1.0s [CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.802 total time= 1.0s [CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.808 total time= 1.2s [CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.805 total time= 1.3s [CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.801 total time= 1.0s [CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.799 total time= 1.6s [CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.803 total time= 1.5s [CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.813 total time= 1.6s [CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.810 total time= 1.6s [CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.807 total time= 1.6s [CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.803 total time= 2.2s [CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.806 total time= 2.1s [CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.815 total time= 2.1s [CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.813 total time= 2.1s [CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.809 total time= 2.1s [CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.806 total time= 2.6s [CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.809 total time= 2.6s [CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.816 total time= 2.6s [CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.811 total time= 3.1s [CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.810 total time= 2.6s [CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.791 total time= 0.5s [CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.795 total time= 0.5s [CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.799 total time= 0.5s [CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.793 total time= 0.5s [CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.795 total time= 0.5s [CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.800 total time= 0.9s [CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.799 total time= 0.9s [CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.807 total time= 0.9s [CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.807 total time= 0.9s [CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.804 total time= 0.9s [CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.803 total time= 1.3s [CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.804 total time= 1.3s [CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.810 total time= 1.3s [CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.812 total time= 1.3s [CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.806 total time= 1.3s [CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.807 total time= 1.8s [CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.808 total time= 1.8s [CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.811 total time= 1.8s [CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.811 total time= 1.8s [CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.816 total time= 1.8s [CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.807 total time= 2.2s [CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.809 total time= 2.6s [CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.814 total time= 2.4s [CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.814 total time= 2.2s [CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.817 total time= 2.3s [CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.793 total time= 0.5s [CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.794 total time= 0.5s [CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.802 total time= 0.5s [CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.800 total time= 0.5s [CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.794 total time= 0.5s [CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.802 total time= 1.3s [CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.798 total time= 1.0s [CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.810 total time= 1.0s [CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.808 total time= 1.0s [CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.806 total time= 1.0s [CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.808 total time= 1.5s [CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.803 total time= 1.5s [CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.810 total time= 1.5s [CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.810 total time= 1.5s [CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.812 total time= 1.5s [CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.808 total time= 2.0s [CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.808 total time= 2.0s [CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.814 total time= 1.9s [CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.815 total time= 2.3s [CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.812 total time= 2.1s [CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.806 total time= 2.5s [CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.810 total time= 2.4s [CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.813 total time= 2.4s [CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.815 total time= 2.5s [CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.811 total time= 2.5s [CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.792 total time= 0.5s [CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.798 total time= 0.5s [CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.799 total time= 0.5s [CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.795 total time= 0.5s [CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.792 total time= 0.5s [CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.797 total time= 1.1s [CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.802 total time= 1.1s [CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.807 total time= 1.1s [CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.805 total time= 1.1s [CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.803 total time= 1.1s [CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.800 total time= 1.6s [CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.803 total time= 1.6s [CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.807 total time= 1.6s [CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.807 total time= 1.6s [CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.809 total time= 1.6s [CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.805 total time= 2.3s [CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.807 total time= 2.7s [CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.812 total time= 2.4s [CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.809 total time= 2.7s [CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.811 total time= 2.2s [CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.803 total time= 2.9s [CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.806 total time= 2.8s [CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.813 total time= 3.4s [CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.810 total time= 3.1s [CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.810 total time= 3.2s [CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.788 total time= 0.6s [CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.796 total time= 0.7s [CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.797 total time= 0.7s [CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.799 total time= 0.7s [CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.796 total time= 0.6s [CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.795 total time= 1.1s [CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.800 total time= 1.1s [CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.805 total time= 1.2s [CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.806 total time= 1.2s [CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.806 total time= 1.2s [CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.801 total time= 1.8s [CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.805 total time= 1.7s [CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.806 total time= 1.7s [CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.807 total time= 1.7s [CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.806 total time= 1.7s [CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.804 total time= 2.2s [CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.805 total time= 2.3s [CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.808 total time= 2.3s [CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.810 total time= 2.3s [CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.810 total time= 2.4s [CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.802 total time= 3.0s [CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.805 total time= 3.1s [CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.809 total time= 2.9s [CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.809 total time= 3.3s [CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.811 total time= 3.1s [CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.792 total time= 0.5s [CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.793 total time= 0.6s [CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.795 total time= 0.6s [CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.797 total time= 0.6s [CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.792 total time= 0.5s [CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.799 total time= 1.0s [CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.795 total time= 1.0s [CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.805 total time= 1.0s [CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.806 total time= 1.0s [CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.804 total time= 1.1s [CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.799 total time= 1.6s [CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.800 total time= 1.5s [CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.807 total time= 1.5s [CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.808 total time= 1.7s [CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.806 total time= 1.5s [CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.802 total time= 2.0s [CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.804 total time= 2.0s [CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.811 total time= 2.0s [CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.810 total time= 2.0s [CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.812 total time= 2.0s [CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.802 total time= 2.5s [CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.807 total time= 2.4s [CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.810 total time= 2.4s [CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.809 total time= 2.6s [CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.812 total time= 2.6s [CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.790 total time= 0.6s [CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.791 total time= 0.5s [CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.790 total time= 0.5s [CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.797 total time= 0.6s [CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.797 total time= 0.5s [CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.796 total time= 1.1s [CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.796 total time= 1.1s [CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.803 total time= 1.2s [CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.803 total time= 1.2s [CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.806 total time= 1.7s [CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.799 total time= 1.8s [CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.800 total time= 1.7s [CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.809 total time= 1.7s [CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.806 total time= 1.7s [CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.807 total time= 1.7s [CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.797 total time= 2.4s [CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.802 total time= 2.3s [CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.810 total time= 2.3s [CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.807 total time= 2.3s [CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.810 total time= 2.2s [CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.799 total time= 2.8s [CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.803 total time= 2.7s [CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.814 total time= 2.7s [CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.807 total time= 3.1s [CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.809 total time= 2.8s [CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.786 total time= 0.6s [CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.793 total time= 0.6s [CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.790 total time= 0.6s [CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.789 total time= 0.6s [CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.793 total time= 0.7s [CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.795 total time= 1.2s [CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.801 total time= 1.2s [CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.798 total time= 1.2s [CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.801 total time= 1.2s [CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.804 total time= 1.2s [CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.799 total time= 1.8s [CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.802 total time= 2.0s [CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.804 total time= 1.9s [CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.805 total time= 1.9s [CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.810 total time= 1.8s [CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.799 total time= 2.3s [CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.802 total time= 2.3s [CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.806 total time= 2.4s [CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.807 total time= 2.7s [CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.811 total time= 2.5s [CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.801 total time= 3.0s [CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.803 total time= 3.2s [CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.803 total time= 3.0s [CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.810 total time= 3.0s [CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.810 total time= 3.0s [CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.783 total time= 0.7s [CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.794 total time= 0.7s [CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.794 total time= 0.7s [CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.791 total time= 0.7s [CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.800 total time= 0.7s [CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.794 total time= 1.3s [CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.800 total time= 1.3s [CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.798 total time= 1.3s [CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.799 total time= 1.3s [CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.810 total time= 1.3s [CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.797 total time= 2.1s [CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.801 total time= 2.0s [CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.800 total time= 1.9s [CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.806 total time= 2.0s [CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.810 total time= 1.9s [CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.798 total time= 2.5s [CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.802 total time= 2.5s [CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.805 total time= 2.6s [CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.807 total time= 2.6s [CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.810 total time= 2.5s [CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.799 total time= 3.3s [CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.805 total time= 3.1s [CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.805 total time= 3.2s [CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.809 total time= 3.2s [CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.809 total time= 3.2s [CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.782 total time= 0.6s [CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.793 total time= 1.0s [CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.790 total time= 0.6s [CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.785 total time= 0.6s [CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.790 total time= 0.6s [CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.788 total time= 1.1s [CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.800 total time= 1.1s [CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.799 total time= 1.1s [CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.794 total time= 1.2s [CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.799 total time= 1.1s [CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.790 total time= 1.7s [CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.800 total time= 1.7s [CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.802 total time= 1.7s [CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.798 total time= 1.7s [CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.803 total time= 1.7s [CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.789 total time= 2.3s [CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.803 total time= 2.4s [CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.803 total time= 2.3s [CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.801 total time= 2.3s [CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.806 total time= 2.2s [CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.793 total time= 2.8s [CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.802 total time= 2.8s [CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.806 total time= 2.8s [CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.803 total time= 2.8s [CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.804 total time= 2.8s [CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.783 total time= 0.7s [CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.787 total time= 0.7s [CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.783 total time= 0.6s [CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.789 total time= 0.7s [CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.792 total time= 0.6s [CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.791 total time= 1.2s [CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.796 total time= 1.2s [CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.793 total time= 1.3s [CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.796 total time= 1.2s [CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.795 total time= 1.2s [CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.790 total time= 1.9s [CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.796 total time= 1.9s [CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.796 total time= 1.8s [CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.799 total time= 1.9s [CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.799 total time= 2.0s [CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.790 total time= 2.5s [CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.799 total time= 2.5s [CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.801 total time= 2.5s [CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.802 total time= 2.5s [CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.800 total time= 2.5s [CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.792 total time= 3.1s [CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.801 total time= 3.1s [CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time= 3.2s [CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time= 3.1s [CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time= 3.1s [CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.783 total time= 0.7s [CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.788 total time= 0.7s [CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.792 total time= 0.7s [CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.789 total time= 0.7s [CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.790 total time= 0.7s [CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.792 total time= 1.3s [CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.795 total time= 1.4s [CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.797 total time= 1.4s [CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.789 total time= 1.3s [CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.796 total time= 1.3s [CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.793 total time= 2.0s [CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.798 total time= 2.0s [CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time= 2.1s [CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time= 2.0s [CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time= 2.0s [CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.793 total time= 2.7s [CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.800 total time= 2.8s [CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.797 total time= 2.8s [CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.797 total time= 3.0s [CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.802 total time= 2.8s [CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.796 total time= 3.6s [CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.800 total time= 3.4s [CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.798 total time= 3.4s [CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.799 total time= 3.4s [CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.802 total time= 3.4s [CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.780 total time= 0.7s [CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.786 total time= 0.7s [CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.782 total time= 0.8s [CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.789 total time= 0.7s [CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.788 total time= 0.7s [CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.785 total time= 1.5s [CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.794 total time= 1.5s [CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.792 total time= 1.5s [CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.793 total time= 1.5s [CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.797 total time= 1.5s [CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.786 total time= 2.3s [CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.798 total time= 2.3s [CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.796 total time= 2.1s [CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.797 total time= 2.2s [CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.797 total time= 2.2s [CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.791 total time= 3.0s [CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time= 2.8s [CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time= 2.9s [CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time= 2.9s [CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.800 total time= 3.0s [CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.790 total time= 4.0s [CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.798 total time= 3.8s [CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.795 total time= 3.8s [CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.796 total time= 3.8s [CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.799 total time= 3.7s
BaggingClassifier(max_features=0.8, max_samples=0.7, n_estimators=100,
random_state=1)
BaggingClassifier(max_features=0.8, max_samples=0.7, n_estimators=100, random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_bagging)
# Check performance of model on both training and test data sets
perf_tnd_bagging = get_metrics_score(tnd_bagging)
perf_tnd_bagging
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.996244 | 0.999747 | 0.994620 | 0.997177 |
| Test | 0.735086 | 0.880741 | 0.764361 | 0.818435 |
Eventhought Recall, precisiona and F1 score has improved, the model still tends to be overfit.
rf_estimator=RandomForestClassifier(random_state=1)
rf_estimator.fit(X_train,y_train)
RandomForestClassifier(random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(rf_estimator)
# Check performance of model on both training and test data sets
perf_rf_tree = get_metrics_score(rf_estimator)
perf_rf_tree
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.999944 | 1.00000 | 0.999916 | 0.999958 |
| Test | 0.730638 | 0.84176 | 0.778790 | 0.809051 |
Random forest gives us an overfit model.
# Choose the type of classifier.
rf_tuned = RandomForestClassifier(oob_score=True, random_state=1)
# Form grid of parameters to search in
grid_para = {
"class_weight": ["balanced", None],
"max_samples": [0.7, 0.8, 0.9, 1.0],
"max_depth": np.arange(1, 5, 1),
"max_features": ["sqrt", "log2"],
"min_samples_split": [100, 200, 400, 800],
"n_estimators": np.arange(20, 110, 20),
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(rf_tuned, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
rf_tuned = grid_obj.best_estimator_
# Fit best decision tree to training data
rf_tuned.fit(X_train, y_train)
Fitting 5 folds for each of 1280 candidates, totalling 6400 fits [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.779 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.785 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.779 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.796 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.803 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.797 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.797 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.6s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.803 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.786 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.797 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.786 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.797 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.796 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.6s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.770 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.794 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.798 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.788 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.772 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.780 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.784 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.786 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.785 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.784 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.780 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.797 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.796 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.796 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.789 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.770 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.6s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.796 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.788 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.787 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.772 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.780 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.788 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.783 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.797 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.784 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.786 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.787 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.798 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.793 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.792 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.795 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.785 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.784 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.780 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.793 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.793 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.781 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.779 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.780 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.786 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.776 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.789 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.775 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.777 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.790 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.774 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.778 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.780 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.787 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.778 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.773 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.764 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.786 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.772 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.788 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.778 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.768 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.778 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.790 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.779 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.775 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.786 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.784 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.773 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.796 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.780 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.780 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.8s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.791 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.750 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.779 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.789 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.776 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.788 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.777 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.786 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.774 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.768 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.778 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.785 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.776 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.782 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.763 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.783 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.775 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.788 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.772 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.787 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.780 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.779 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.773 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.782 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.778 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.781 total time= 0.6s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.791 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.791 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.786 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.789 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.785 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.786 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.780 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.780 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.790 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.785 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.778 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.781 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.776 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.790 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.781 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.772 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.780 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.779 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.781 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.792 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.790 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.791 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.785 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.782 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.777 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.780 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.791 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.779 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.785 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.6s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.781 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time= 1.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.6s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.791 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.764 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.790 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.787 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.786 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.789 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.777 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.780 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.787 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.781 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.791 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.782 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.789 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.779 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.781 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.781 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.779 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.780 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.786 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.776 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.789 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.775 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.777 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.793 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.784 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.790 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.774 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.778 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.780 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.6s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.787 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.778 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.792 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.773 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.764 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.786 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.772 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.788 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.768 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.778 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.790 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.779 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.775 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.786 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.778 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.784 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.773 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.793 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.796 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.780 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.780 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.750 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.779 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.789 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.6s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.776 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.788 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.7s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.790 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.6s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.777 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.786 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.774 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.768 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.778 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.785 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.776 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.789 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.791 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.763 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.783 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.775 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.788 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.772 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.783 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.795 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.787 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.780 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.791 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.779 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.773 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.794 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.789 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.782 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.778 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.791 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.790 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.791 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.786 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.789 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.785 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.786 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.780 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.765 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.780 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.790 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.785 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.778 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.781 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.782 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.778 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.776 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.775 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.790 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.788 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.781 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.772 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.779 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.780 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.779 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.788 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.781 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.787 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.792 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.790 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.795 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.791 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.790 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.785 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.789 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.787 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.782 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.777 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.780 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.788 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.791 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.788 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.788 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.791 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.779 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.785 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.781 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time= 0.8s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.791 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.764 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.779 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.790 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.789 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.787 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.786 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.777 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.789 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.789 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.777 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.787 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.788 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.780 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.777 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.787 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.781 total time= 0.5s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.791 total time= 0.5s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time= 0.5s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time= 0.1s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.782 total time= 0.1s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time= 0.1s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time= 0.1s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.791 total time= 0.2s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.782 total time= 0.2s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time= 0.2s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time= 0.2s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.778 total time= 0.3s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.781 total time= 0.3s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.789 total time= 0.3s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.787 total time= 0.3s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.779 total time= 0.3s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.789 total time= 0.4s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time= 0.4s [CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.5s [CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.781 total time= 0.4s [CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.790 total time= 0.4s [CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.788 total time= 0.5s [CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.799 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.802 total time= 1.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.5s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.7s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.805 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.807 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.803 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.807 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.807 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.803 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.806 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.5s [CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.805 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.807 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.5s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.7s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.803 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.807 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.804 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.807 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.803 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.806 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.805 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.800 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.806 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.804 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.802 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.804 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.802 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.804 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.800 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.802 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.804 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.808 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.814 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.814 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.821 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.816 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.820 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.813 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.807 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.808 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.813 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.813 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.813 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.821 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.807 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.808 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.808 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.816 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.807 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.805 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.815 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.815 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.814 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.813 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.813 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.814 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.823 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.808 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.822 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.808 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.814 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.814 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.816 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.820 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.813 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.807 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.808 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.813 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.813 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.813 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.821 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.807 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.808 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.5s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.5s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.5s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.5s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.809 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.807 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.813 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.805 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.809 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.809 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.815 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.813 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.814 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.813 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.813 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.806 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.813 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.809 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.809 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.814 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.815 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.807 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.815 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.809 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.808 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.806 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.822 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.827 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.829 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.823 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.816 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.824 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.5s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.813 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.826 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.817 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.814 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.826 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.824 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.826 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.5s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.827 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.821 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.817 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.827 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.813 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.826 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.813 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.826 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.826 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.817 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.831 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.828 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.830 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.828 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.5s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.829 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.830 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.830 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.5s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.831 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.822 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.828 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.819 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.6s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.6s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.5s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.827 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.826 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.825 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.827 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.827 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.5s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.829 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.823 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.816 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.824 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.814 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.813 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.809 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.826 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.817 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.814 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.826 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.817 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.824 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.815 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.821 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.827 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.821 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.817 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.6s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.823 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.827 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.822 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.813 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.826 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.813 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.826 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.826 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.831 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.821 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.829 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.828 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.830 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.820 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.814 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.819 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.813 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.828 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.828 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.818 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time= 0.5s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.813 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.815 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.812 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.826 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.820 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.6s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.828 total time= 0.6s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.820 total time= 0.6s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.5s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.829 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.830 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.830 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.819 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.819 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.831 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.820 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.5s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.822 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.812 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.828 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.829 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.827 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.818 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.819 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.818 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.830 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.808 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.825 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.818 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.816 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.827 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.827 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.811 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.815 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.829 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.816 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.811 total time= 0.4s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.828 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time= 0.5s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time= 0.6s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time= 0.1s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time= 0.1s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.826 total time= 0.1s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.819 total time= 0.1s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.820 total time= 0.1s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time= 0.2s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.824 total time= 0.2s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time= 0.2s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time= 0.2s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.811 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.822 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.819 total time= 0.3s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.808 total time= 0.3s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time= 0.3s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.810 total time= 0.3s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.825 total time= 0.3s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time= 0.4s [CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.812 total time= 0.5s [CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.816 total time= 0.4s [CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.827 total time= 0.4s [CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.819 total time= 0.4s [CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time= 0.4s
RandomForestClassifier(max_depth=4, max_features='sqrt', max_samples=0.9,
min_samples_split=100, n_estimators=80, oob_score=True,
random_state=1)
RandomForestClassifier(max_depth=4, max_features='sqrt', max_samples=0.9, min_samples_split=100, n_estimators=80, oob_score=True, random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(rf_tuned)
# Check performance of model on both training and test data sets
perf_tnd_rndm_frst = get_metrics_score(rf_tuned)
perf_tnd_rndm_frst
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.732732 | 0.920581 | 0.740067 | 0.820513 |
| Test | 0.739534 | 0.921266 | 0.750983 | 0.827455 |
Hyperparameter tuning has solved the overfit issue - Recall and F1 score value is increased. Accuracy of test data is also improved slightly
print(pd.DataFrame(rf_tuned.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp education_of_employee_High School 0.300197 prevailing_wage 0.147402 has_job_experience_Y 0.147363 education_of_employee_Master's 0.128260 unit_of_wage_Year 0.106116 education_of_employee_Doctorate 0.057216 continent_Europe 0.037555 region_of_employment_Midwest 0.016598 region_of_employment_West 0.013343 continent_North America 0.009420 continent_Asia 0.009000 region_of_employment_South 0.006389 region_of_employment_Northeast 0.005664 yr_of_estab 0.005264 no_of_employees 0.003269 continent_South America 0.002650 unit_of_wage_Week 0.001209 full_time_position_Y 0.001122 requires_job_training_Y 0.000839 continent_Oceania 0.000595 unit_of_wage_Month 0.000529
feature_names = X_train.columns
importances = rf_tuned.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()
Apart from important features from decision tree we have Region of employment (Midwest,West,South,Northeast), continet asia and south america , yr_of_estab, no_of_employees , unit_of_wage_week full_time_position are added extra for Random Forest model
ada_boost = AdaBoostClassifier(random_state=1)
ada_boost.fit(X_train, y_train)
AdaBoostClassifier(random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(ada_boost)
# Check performance of model on both training and test data sets
perf_ada_boost = get_metrics_score(ada_boost)
perf_ada_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.736880 | 0.886110 | 0.758187 | 0.817172 |
| Test | 0.738488 | 0.885951 | 0.765294 | 0.821215 |
We notice that adaboost model is not showing overfit data.
# Choose type of classifier
tnd_ada_boost = AdaBoostClassifier(random_state=1)
# Form grid of parameters to search in
grid_para = {
"base_estimator": [
DecisionTreeClassifier(max_depth=1),
DecisionTreeClassifier(max_depth=2),
DecisionTreeClassifier(max_depth=3),
],
"n_estimators": np.arange(20, 110, 20),
"learning_rate": np.arange(0.2, 1.1, 0.2),
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(tnd_ada_boost, grid_para, scoring=scorer, cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
tnd_ada_boost = grid_obj.best_estimator_
# Fit best decision tree to training data
tnd_ada_boost.fit(X_train, y_train)
AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),
learning_rate=0.4, n_estimators=20, random_state=1)
AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3), learning_rate=0.4, n_estimators=20, random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_ada_boost)
# Check performance of model on both training and test data sets
perf_tnd_ada_boost = get_metrics_score(tnd_ada_boost)
perf_tnd_ada_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.752915 | 0.882224 | 0.776068 | 0.825748 |
| Test | 0.747776 | 0.873408 | 0.780614 | 0.824408 |
print(pd.DataFrame(tnd_ada_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp prevailing_wage 0.160766 no_of_employees 0.142372 education_of_employee_High School 0.095309 education_of_employee_Master's 0.082934 has_job_experience_Y 0.079658 education_of_employee_Doctorate 0.065912 requires_job_training_Y 0.062376 continent_Europe 0.049693 yr_of_estab 0.041660 region_of_employment_Midwest 0.039637 continent_South America 0.037248 region_of_employment_South 0.031968 region_of_employment_West 0.024322 full_time_position_Y 0.023134 unit_of_wage_Year 0.021076 continent_North America 0.018097 region_of_employment_Northeast 0.009467 continent_Oceania 0.009036 continent_Asia 0.005335 unit_of_wage_Month 0.000000 unit_of_wage_Week 0.000000
feature_names = X_train.columns
importances = tnd_ada_boost.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()
We notice that the important feature is changed here as prevailing_wage is the most important factor in adaboost hyperparameter tuning.
# Use function GradientBoostingClassifier from sklearn to build model
grdnt_boost = GradientBoostingClassifier(random_state=1)
grdnt_boost.fit(X_train, y_train)
GradientBoostingClassifier(random_state=1)
# Create confusion matrix based on test data set
make_confusion_matrix(grdnt_boost)
# Check performance of model on both training and test data sets
perf_grdnt_boost = get_metrics_score(grdnt_boost)
perf_grdnt_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.755382 | 0.875972 | 0.781724 | 0.826168 |
| Test | 0.750392 | 0.868391 | 0.785889 | 0.825083 |
Accuracy , recall and precision , f1 are similar to adaboost hyperparameter tuning
# Choose type of classifier
tnd_grdnt_boost = GradientBoostingClassifier(
init=AdaBoostClassifier(random_state=1), random_state=1
)
# Form grid of parameters to search in
grid_para = {
"subsample": [0.8, 0.9, 1.0],
"max_features": [0.8, 0.9, 1.0],
"n_estimators": np.arange(20, 110, 20),
"learning_rate": np.arange(0.2, 1.1, 0.2),
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(tnd_grdnt_boost, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
tnd_grdnt_boost = grid_obj.best_estimator_
# Fit best decision tree to training data
tnd_grdnt_boost.fit(X_train, y_train)
Fitting 5 folds for each of 225 candidates, totalling 1125 fits [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.5s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.828 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.826 total time= 0.5s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.824 total time= 0.5s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.817 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.818 total time= 0.5s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.827 total time= 0.5s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.5s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.5s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.5s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.5s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.7s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.7s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.822 total time= 0.7s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.826 total time= 0.8s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.826 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.817 total time= 0.9s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.825 total time= 0.7s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.823 total time= 0.7s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.824 total time= 0.7s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.815 total time= 0.7s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.825 total time= 0.8s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.822 total time= 0.8s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.823 total time= 0.7s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.816 total time= 0.9s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time= 0.9s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time= 0.9s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.822 total time= 0.9s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.823 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.818 total time= 0.9s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.824 total time= 0.9s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.822 total time= 0.9s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.823 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time= 1.0s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.823 total time= 0.9s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time= 0.9s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.816 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time= 1.0s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.823 total time= 1.0s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.823 total time= 1.1s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.818 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.814 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.823 total time= 1.4s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.823 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.820 total time= 1.1s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.815 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.816 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.823 total time= 1.1s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.821 total time= 1.1s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.821 total time= 1.2s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.816 total time= 1.2s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.817 total time= 1.2s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.818 total time= 1.2s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.824 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.822 total time= 1.2s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.818 total time= 1.3s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time= 1.3s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.820 total time= 1.3s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.822 total time= 1.3s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.821 total time= 1.3s [CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time= 1.3s [CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time= 1.3s [CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.822 total time= 1.4s [CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.820 total time= 1.3s [CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.820 total time= 1.3s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time= 0.5s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.826 total time= 0.5s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.824 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.817 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.825 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.822 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.7s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.825 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.817 total time= 0.7s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.817 total time= 0.7s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.824 total time= 0.7s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.825 total time= 0.7s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.824 total time= 0.8s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.8s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.824 total time= 0.7s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.823 total time= 0.8s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.823 total time= 0.8s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.819 total time= 0.8s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.824 total time= 0.8s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.823 total time= 1.0s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.824 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.815 total time= 1.0s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.817 total time= 1.0s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.823 total time= 1.1s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.822 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.822 total time= 0.9s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.815 total time= 1.0s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.815 total time= 1.6s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.823 total time= 1.9s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.822 total time= 1.1s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.823 total time= 1.2s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.819 total time= 1.2s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.817 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.822 total time= 1.0s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.822 total time= 1.0s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.823 total time= 1.0s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.822 total time= 1.2s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.823 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.821 total time= 1.1s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.813 total time= 1.2s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.814 total time= 1.2s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.820 total time= 1.1s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.822 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.820 total time= 1.2s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.818 total time= 1.2s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.818 total time= 1.2s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time= 1.2s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.821 total time= 1.2s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time= 1.2s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time= 1.3s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time= 1.3s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.819 total time= 1.3s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.823 total time= 1.3s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.820 total time= 1.3s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.812 total time= 1.7s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.814 total time= 1.7s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.818 total time= 1.4s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.822 total time= 1.4s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.819 total time= 1.4s [CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.814 total time= 1.4s [CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.817 total time= 1.4s [CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.819 total time= 1.4s [CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.821 total time= 1.4s [CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.819 total time= 1.4s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.817 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.826 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.824 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.826 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.6s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.6s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.825 total time= 0.6s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time= 0.8s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.824 total time= 0.8s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.825 total time= 0.8s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.824 total time= 0.8s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.815 total time= 0.8s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.824 total time= 0.8s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.824 total time= 0.9s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.823 total time= 1.0s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.819 total time= 0.8s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.824 total time= 0.8s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.823 total time= 0.8s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.824 total time= 0.8s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.817 total time= 1.0s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time= 1.0s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time= 1.0s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time= 1.0s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time= 1.0s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.816 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.818 total time= 1.0s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.822 total time= 1.1s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.824 total time= 1.1s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.820 total time= 1.1s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.815 total time= 1.1s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.819 total time= 1.1s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.823 total time= 1.1s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.822 total time= 1.1s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.822 total time= 1.1s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time= 1.2s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.818 total time= 1.2s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.822 total time= 1.2s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.821 total time= 1.4s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.820 total time= 1.5s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.815 total time= 1.3s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time= 1.3s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.820 total time= 1.6s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.825 total time= 1.4s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.819 total time= 1.3s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.813 total time= 1.3s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.819 total time= 1.4s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.820 total time= 1.3s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.822 total time= 1.3s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.820 total time= 1.3s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.815 total time= 1.4s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.816 total time= 1.4s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.820 total time= 1.4s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.821 total time= 1.4s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.818 total time= 1.4s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.813 total time= 1.5s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.816 total time= 1.5s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.821 total time= 1.5s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.822 total time= 1.7s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.818 total time= 1.5s [CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time= 1.6s [CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.818 total time= 1.5s [CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.821 total time= 1.6s [CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.817 total time= 1.7s [CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.820 total time= 2.0s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.817 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.815 total time= 0.5s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.827 total time= 0.5s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.821 total time= 0.5s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.821 total time= 0.5s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.5s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.5s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.821 total time= 0.5s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.816 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.825 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.822 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.5s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.816 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.811 total time= 0.7s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.822 total time= 0.7s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.821 total time= 0.7s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.7s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.7s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time= 0.7s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.822 total time= 0.7s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.823 total time= 0.7s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.818 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.811 total time= 0.9s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.817 total time= 0.8s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.822 total time= 0.7s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.823 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time= 0.9s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.820 total time= 0.9s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.820 total time= 0.9s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time= 0.9s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time= 0.9s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.812 total time= 0.9s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.820 total time= 0.9s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.822 total time= 1.4s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.816 total time= 0.9s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.808 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.817 total time= 0.9s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time= 1.0s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.821 total time= 0.9s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.820 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.810 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.811 total time= 1.1s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time= 1.2s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time= 1.0s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.808 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time= 1.1s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.819 total time= 1.1s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.818 total time= 1.1s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.817 total time= 1.1s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.807 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.814 total time= 1.1s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.819 total time= 1.1s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.818 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.819 total time= 1.5s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.807 total time= 1.4s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.809 total time= 1.2s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.817 total time= 1.2s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.818 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.811 total time= 1.3s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time= 1.6s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.807 total time= 1.3s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.819 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time= 1.4s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time= 1.5s [CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.806 total time= 1.3s [CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time= 1.4s [CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.814 total time= 1.3s [CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time= 1.4s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.817 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.826 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.826 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.824 total time= 0.7s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.814 total time= 0.7s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.815 total time= 0.8s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.820 total time= 0.7s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.822 total time= 0.7s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.820 total time= 0.7s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.8s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.7s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.820 total time= 0.7s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.822 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.821 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.814 total time= 0.9s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.819 total time= 0.8s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.820 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.821 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.811 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.809 total time= 1.0s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.819 total time= 0.9s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.818 total time= 1.0s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.819 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.811 total time= 1.0s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.816 total time= 1.0s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.821 total time= 1.0s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.817 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.812 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.816 total time= 1.0s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.819 total time= 1.2s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.820 total time= 1.0s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.818 total time= 1.1s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.806 total time= 1.3s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.806 total time= 1.2s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.1s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.813 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.1s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.810 total time= 1.1s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.816 total time= 1.1s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.819 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.817 total time= 1.4s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.811 total time= 1.2s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.814 total time= 1.2s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.817 total time= 1.2s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.816 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time= 1.2s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.806 total time= 1.4s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.3s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.815 total time= 1.3s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.809 total time= 1.3s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.805 total time= 1.3s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.811 total time= 1.3s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.817 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.816 total time= 1.3s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.817 total time= 1.4s [CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.809 total time= 1.4s [CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.811 total time= 1.4s [CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.815 total time= 1.4s [CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.813 total time= 1.4s [CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.817 total time= 1.4s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.815 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.817 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.823 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.821 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.815 total time= 0.7s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.822 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.823 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.823 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.816 total time= 0.6s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.812 total time= 0.8s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time= 0.8s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.8s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.819 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.8s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.814 total time= 0.8s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.823 total time= 0.8s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.822 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.818 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.813 total time= 0.8s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.8s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.817 total time= 0.8s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.820 total time= 0.8s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.821 total time= 0.8s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.813 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.814 total time= 1.0s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time= 1.0s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.817 total time= 1.0s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time= 1.0s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.813 total time= 1.0s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.821 total time= 1.0s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.820 total time= 1.1s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.818 total time= 1.0s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.812 total time= 1.1s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.813 total time= 1.1s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.816 total time= 1.1s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.817 total time= 1.1s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.817 total time= 1.1s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time= 1.2s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time= 1.2s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.815 total time= 1.2s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time= 1.2s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time= 1.2s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.809 total time= 1.3s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.811 total time= 1.3s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.820 total time= 1.3s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time= 1.3s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time= 1.3s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.813 total time= 1.3s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.817 total time= 1.3s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.817 total time= 1.3s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.816 total time= 1.3s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.809 total time= 1.4s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.4s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.812 total time= 1.4s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.813 total time= 1.4s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.814 total time= 1.7s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.807 total time= 2.0s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.811 total time= 1.5s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.817 total time= 1.5s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.817 total time= 1.5s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.814 total time= 1.5s [CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time= 1.5s [CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.809 total time= 1.5s [CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.815 total time= 1.5s [CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.816 total time= 1.5s [CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.817 total time= 1.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.811 total time= 0.5s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.814 total time= 0.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.820 total time= 0.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time= 0.5s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time= 0.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time= 0.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time= 0.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.808 total time= 0.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.819 total time= 0.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.822 total time= 0.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.820 total time= 0.5s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.806 total time= 0.7s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.809 total time= 0.7s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.813 total time= 0.7s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.814 total time= 0.7s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.811 total time= 0.7s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.806 total time= 0.7s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time= 0.8s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.820 total time= 0.7s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.818 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.805 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.7s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.8s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.814 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.807 total time= 0.9s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time= 0.9s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.811 total time= 0.9s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time= 0.9s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.809 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.804 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.813 total time= 0.9s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.813 total time= 0.9s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.819 total time= 0.9s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.815 total time= 0.9s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.799 total time= 0.9s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time= 0.9s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.814 total time= 0.9s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time= 0.9s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.815 total time= 0.9s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.804 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.809 total time= 1.0s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.810 total time= 1.0s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.803 total time= 1.1s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.809 total time= 1.1s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.815 total time= 1.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.801 total time= 1.2s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.815 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.812 total time= 1.2s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.816 total time= 1.1s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.813 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.801 total time= 1.2s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.809 total time= 1.2s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.2s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.2s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.805 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.799 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.810 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.811 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.811 total time= 1.3s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.809 total time= 1.3s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.812 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.811 total time= 1.3s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time= 1.3s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.815 total time= 0.5s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time= 0.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.819 total time= 0.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time= 0.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.820 total time= 0.5s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.822 total time= 0.6s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time= 0.6s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.7s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.7s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.822 total time= 0.6s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time= 0.6s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.820 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.810 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.806 total time= 0.7s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.819 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.7s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.818 total time= 0.7s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.809 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.809 total time= 0.7s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.818 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.7s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.810 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.813 total time= 0.8s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.8s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.820 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.806 total time= 0.9s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.804 total time= 0.9s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.814 total time= 0.9s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.820 total time= 0.9s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.814 total time= 0.9s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.806 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time= 1.0s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.818 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.812 total time= 1.0s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.813 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.813 total time= 1.0s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.814 total time= 1.0s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.814 total time= 1.2s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.813 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.804 total time= 1.1s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.803 total time= 1.1s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.814 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.819 total time= 1.1s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.811 total time= 1.1s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.802 total time= 1.2s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.804 total time= 1.2s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.815 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.808 total time= 1.1s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time= 1.1s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.804 total time= 1.2s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.809 total time= 1.2s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.814 total time= 1.2s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.808 total time= 1.2s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.811 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.800 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.802 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.811 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.812 total time= 1.3s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.806 total time= 1.3s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.802 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.802 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.814 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.805 total time= 1.3s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.807 total time= 1.4s [CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.802 total time= 1.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.804 total time= 1.6s [CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.813 total time= 1.4s [CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.804 total time= 1.4s [CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.809 total time= 1.7s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.813 total time= 0.6s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.821 total time= 0.6s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time= 0.6s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.813 total time= 0.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.820 total time= 0.6s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.819 total time= 0.6s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.824 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.6s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.812 total time= 0.6s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.821 total time= 0.6s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.820 total time= 0.6s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time= 0.6s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.807 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.813 total time= 0.8s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.819 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.817 total time= 0.8s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.810 total time= 0.9s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.8s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.816 total time= 0.8s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.811 total time= 0.8s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.810 total time= 0.8s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.8s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time= 1.0s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time= 0.8s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.803 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.811 total time= 1.1s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.816 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.814 total time= 1.1s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.815 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.805 total time= 1.0s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time= 1.0s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.814 total time= 1.0s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.811 total time= 1.0s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.814 total time= 1.0s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time= 1.1s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time= 1.1s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.814 total time= 1.1s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.813 total time= 1.1s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.814 total time= 1.1s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.803 total time= 1.2s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.807 total time= 1.2s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.817 total time= 1.2s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.804 total time= 1.2s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time= 1.2s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.805 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.804 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.811 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.806 total time= 1.3s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.812 total time= 1.3s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time= 1.3s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time= 1.3s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time= 1.3s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time= 1.4s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.810 total time= 1.4s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.797 total time= 1.4s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.806 total time= 1.4s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.815 total time= 1.4s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.802 total time= 1.4s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.806 total time= 1.4s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.798 total time= 1.5s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.805 total time= 1.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.810 total time= 1.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.805 total time= 1.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.808 total time= 1.5s [CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.804 total time= 1.5s [CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.806 total time= 1.5s [CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.809 total time= 1.5s [CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.810 total time= 1.5s [CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time= 1.5s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.5s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.5s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time= 0.5s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.816 total time= 0.8s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time= 0.5s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.812 total time= 0.5s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time= 0.5s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.818 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.807 total time= 0.7s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.7s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.821 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.817 total time= 0.5s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.5s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.808 total time= 0.7s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.810 total time= 0.7s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.814 total time= 0.7s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.816 total time= 0.7s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.812 total time= 0.7s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.806 total time= 0.7s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.809 total time= 0.7s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.813 total time= 0.7s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.811 total time= 0.7s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.808 total time= 0.7s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.802 total time= 0.7s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.810 total time= 0.7s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.817 total time= 0.8s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.812 total time= 0.7s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.808 total time= 0.7s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.802 total time= 0.9s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.804 total time= 0.9s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.808 total time= 0.9s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.816 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.809 total time= 0.9s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.803 total time= 0.9s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.807 total time= 0.9s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.810 total time= 0.9s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.804 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time= 0.9s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.799 total time= 0.9s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.807 total time= 0.9s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.815 total time= 1.0s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.809 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.804 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.800 total time= 1.1s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.803 total time= 1.0s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time= 1.2s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.813 total time= 1.3s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.802 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.800 total time= 1.1s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.808 total time= 1.1s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.809 total time= 1.1s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.804 total time= 1.1s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.802 total time= 1.1s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.799 total time= 1.1s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.803 total time= 1.1s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.811 total time= 1.1s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.808 total time= 1.1s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.802 total time= 1.1s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time= 1.3s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.799 total time= 1.2s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.805 total time= 1.2s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.2s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.802 total time= 1.2s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.3s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.803 total time= 1.3s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time= 1.3s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.806 total time= 1.2s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.802 total time= 1.4s [CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.796 total time= 1.3s [CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.799 total time= 1.3s [CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.811 total time= 1.5s [CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.806 total time= 1.6s [CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.798 total time= 1.3s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.806 total time= 0.5s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.810 total time= 0.5s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time= 0.5s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.5s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time= 0.5s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.810 total time= 0.6s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.820 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.819 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.810 total time= 0.6s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.821 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.813 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.803 total time= 0.7s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.808 total time= 0.7s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.813 total time= 0.7s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.813 total time= 0.7s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.809 total time= 0.7s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.805 total time= 0.8s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.804 total time= 0.8s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.811 total time= 0.7s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.817 total time= 0.8s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.810 total time= 0.7s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.805 total time= 0.8s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.807 total time= 0.8s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.814 total time= 0.8s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.817 total time= 0.8s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.805 total time= 0.8s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.797 total time= 1.0s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.802 total time= 0.9s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.811 total time= 0.9s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.808 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.803 total time= 0.9s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.803 total time= 1.0s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.802 total time= 1.0s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.806 total time= 1.0s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time= 1.3s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.807 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.800 total time= 1.0s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.806 total time= 1.0s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.812 total time= 1.0s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.811 total time= 1.0s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.805 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.798 total time= 1.1s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.803 total time= 1.1s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.809 total time= 1.1s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.808 total time= 1.1s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.801 total time= 1.1s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.802 total time= 1.2s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.798 total time= 1.2s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time= 1.1s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.809 total time= 1.2s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.803 total time= 1.1s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.799 total time= 1.2s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.801 total time= 1.2s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.810 total time= 1.2s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.810 total time= 1.2s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.801 total time= 1.2s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time= 1.5s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.803 total time= 1.3s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.808 total time= 1.3s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.805 total time= 1.3s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time= 1.7s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.798 total time= 1.4s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.4s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.806 total time= 1.3s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.807 total time= 1.4s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.800 total time= 1.3s [CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time= 1.4s [CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time= 1.4s [CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.808 total time= 1.4s [CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.807 total time= 1.4s [CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time= 1.4s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.807 total time= 0.6s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.6s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.813 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.807 total time= 0.6s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.817 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.817 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.806 total time= 0.6s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.813 total time= 0.6s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.819 total time= 0.6s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.6s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.817 total time= 0.6s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.803 total time= 0.8s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.806 total time= 0.8s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time= 0.8s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.814 total time= 0.8s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.811 total time= 0.8s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.806 total time= 0.8s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.804 total time= 0.8s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.815 total time= 0.8s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time= 0.9s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.801 total time= 0.8s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.810 total time= 0.8s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.818 total time= 0.8s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.812 total time= 0.9s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.809 total time= 0.8s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.800 total time= 1.0s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.804 total time= 1.0s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.815 total time= 1.0s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.808 total time= 1.0s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.807 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.802 total time= 1.0s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.805 total time= 1.0s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time= 1.0s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time= 1.1s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time= 1.0s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.802 total time= 1.1s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time= 1.1s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.812 total time= 1.1s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.811 total time= 1.1s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.806 total time= 1.1s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.800 total time= 1.2s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.805 total time= 1.2s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.814 total time= 1.3s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.802 total time= 1.2s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.806 total time= 1.2s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.794 total time= 1.3s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.799 total time= 1.3s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.804 total time= 1.7s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.805 total time= 1.3s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.802 total time= 1.3s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.796 total time= 1.3s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time= 1.3s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.810 total time= 1.3s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.807 total time= 1.3s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.805 total time= 1.3s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.795 total time= 1.4s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.798 total time= 1.4s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.811 total time= 1.4s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.800 total time= 1.4s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.805 total time= 1.4s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.794 total time= 1.5s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.796 total time= 1.5s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.799 total time= 1.5s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.806 total time= 1.5s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.800 total time= 1.5s [CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.795 total time= 1.5s [CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.803 total time= 1.5s [CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.806 total time= 1.5s [CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.802 total time= 1.9s [CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.803 total time= 1.6s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.809 total time= 0.5s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.805 total time= 0.5s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.810 total time= 0.5s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.811 total time= 0.5s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.809 total time= 0.5s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.808 total time= 0.5s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.808 total time= 0.5s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time= 0.5s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time= 0.5s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.804 total time= 0.6s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.805 total time= 0.5s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.816 total time= 0.6s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.5s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.5s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.805 total time= 0.7s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.803 total time= 0.7s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.810 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.808 total time= 0.7s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.813 total time= 0.7s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.803 total time= 0.7s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.7s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.811 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.7s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.7s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.796 total time= 0.7s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.804 total time= 0.7s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.812 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.804 total time= 0.7s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.808 total time= 0.7s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.798 total time= 0.9s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.800 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.801 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.803 total time= 0.9s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.810 total time= 0.9s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.794 total time= 0.9s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.800 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time= 0.9s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.801 total time= 1.0s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.801 total time= 1.2s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.796 total time= 1.1s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.803 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.807 total time= 0.9s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.800 total time= 0.9s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.804 total time= 0.9s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.797 total time= 1.0s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.795 total time= 1.0s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.800 total time= 1.0s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.801 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.798 total time= 1.1s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.793 total time= 1.1s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.799 total time= 1.1s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.806 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.798 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.799 total time= 1.1s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.791 total time= 1.1s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.800 total time= 1.1s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.806 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.799 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.804 total time= 1.1s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.796 total time= 1.2s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.794 total time= 1.2s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time= 1.2s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time= 1.2s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.796 total time= 1.2s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.791 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.791 total time= 1.5s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time= 1.5s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.2s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.798 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.791 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time= 1.3s [CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.805 total time= 1.3s [CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time= 1.3s [CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.802 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.807 total time= 0.6s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.808 total time= 0.6s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time= 0.5s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time= 0.5s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time= 0.5s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.808 total time= 0.6s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.820 total time= 0.6s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.817 total time= 0.6s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.809 total time= 0.7s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.806 total time= 0.7s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.814 total time= 0.7s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.816 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.820 total time= 0.7s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.813 total time= 0.7s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.801 total time= 0.9s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.805 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.811 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.808 total time= 0.7s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.806 total time= 1.0s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.802 total time= 0.8s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.804 total time= 0.7s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time= 0.8s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time= 0.8s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.8s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.801 total time= 0.8s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.809 total time= 0.8s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.812 total time= 0.9s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.810 total time= 1.0s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.809 total time= 0.8s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.797 total time= 0.9s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.800 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.807 total time= 0.9s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.800 total time= 0.9s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.805 total time= 0.9s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.798 total time= 1.0s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.802 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.804 total time= 1.0s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.805 total time= 0.9s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.800 total time= 0.9s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.796 total time= 1.0s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time= 1.0s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.806 total time= 1.0s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time= 1.0s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.809 total time= 1.0s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.794 total time= 1.1s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.800 total time= 1.1s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.804 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.797 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.802 total time= 1.1s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.793 total time= 1.2s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.798 total time= 1.2s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.800 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.803 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.799 total time= 1.1s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.792 total time= 1.2s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.803 total time= 1.2s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.805 total time= 1.5s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.802 total time= 1.3s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.804 total time= 1.2s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.790 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.794 total time= 1.3s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.804 total time= 1.3s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.794 total time= 1.3s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.786 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.4s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.803 total time= 1.3s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.800 total time= 1.4s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.796 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.790 total time= 1.4s [CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time= 1.4s [CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time= 1.4s [CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time= 1.4s [CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.802 total time= 1.6s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.807 total time= 0.6s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.804 total time= 0.6s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time= 0.6s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.811 total time= 0.6s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.818 total time= 0.6s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.809 total time= 0.6s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.811 total time= 0.6s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.821 total time= 0.6s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.812 total time= 0.6s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.814 total time= 0.6s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.808 total time= 0.7s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.808 total time= 0.9s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time= 0.7s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.816 total time= 0.6s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.815 total time= 0.6s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.802 total time= 0.8s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.800 total time= 0.8s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.805 total time= 0.8s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.811 total time= 0.8s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.806 total time= 0.8s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.801 total time= 0.8s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.800 total time= 0.8s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time= 0.8s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.807 total time= 0.8s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.808 total time= 0.8s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.801 total time= 0.8s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.803 total time= 0.8s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.813 total time= 0.9s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.807 total time= 0.8s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.808 total time= 0.8s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.798 total time= 1.0s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.797 total time= 1.0s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.802 total time= 1.0s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.809 total time= 1.0s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.797 total time= 1.0s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.796 total time= 1.0s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.796 total time= 1.0s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time= 1.0s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.801 total time= 1.0s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.803 total time= 1.0s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.792 total time= 1.1s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.801 total time= 1.1s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.810 total time= 1.1s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.806 total time= 1.1s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.805 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.792 total time= 1.4s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.795 total time= 1.2s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.799 total time= 1.2s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.804 total time= 1.2s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.797 total time= 1.2s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.791 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.793 total time= 1.3s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.803 total time= 1.3s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.797 total time= 1.3s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.799 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.792 total time= 1.3s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.793 total time= 1.3s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.808 total time= 1.4s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.804 total time= 1.4s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.798 total time= 1.3s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.787 total time= 1.4s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.792 total time= 1.6s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.799 total time= 1.4s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.802 total time= 1.4s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.792 total time= 1.4s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.784 total time= 1.5s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.5s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.797 total time= 1.9s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.798 total time= 1.5s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.795 total time= 1.5s [CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.790 total time= 1.5s [CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.790 total time= 1.5s [CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.804 total time= 1.5s [CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.799 total time= 1.5s [CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.800 total time= 1.5s
GradientBoostingClassifier(init=AdaBoostClassifier(random_state=1),
learning_rate=0.2, max_features=0.8, n_estimators=20,
random_state=1, subsample=0.8)
GradientBoostingClassifier(init=AdaBoostClassifier(random_state=1), learning_rate=0.2, max_features=0.8, n_estimators=20, random_state=1, subsample=0.8)
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_grdnt_boost)
# Check performance of model on both training and test data sets
perf_tnd_grdnt_boost = get_metrics_score(tnd_grdnt_boost)
perf_tnd_grdnt_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.747309 | 0.892700 | 0.765486 | 0.824213 |
| Test | 0.747776 | 0.886916 | 0.773998 | 0.826619 |
Accuracy has reduced slightly compared to gradiant boost without hyper parameter
print(pd.DataFrame(tnd_grdnt_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp education_of_employee_High School 0.285089 has_job_experience_Y 0.177937 prevailing_wage 0.148636 education_of_employee_Master's 0.102437 education_of_employee_Doctorate 0.086290 continent_Europe 0.058420 unit_of_wage_Year 0.033407 region_of_employment_Midwest 0.031714 region_of_employment_West 0.024147 continent_North America 0.011955 continent_Asia 0.008379 region_of_employment_South 0.007028 region_of_employment_Northeast 0.006145 yr_of_estab 0.005576 no_of_employees 0.004321 continent_South America 0.003906 full_time_position_Y 0.002712 requires_job_training_Y 0.001902 unit_of_wage_Month 0.000000 unit_of_wage_Week 0.000000 continent_Oceania 0.000000
feature_names = X_train.columns
importances = tnd_grdnt_boost.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()
We notice that education of employee (High school) is important feature contrast to the previous model
# Use function XGBClassifier from xgboost to build model
xg_boost = XGBClassifier(eval_metric="logloss", random_state=1)
xg_boost.fit(X_train, y_train)
XGBClassifier(base_score=None, booster=None, callbacks=None,
colsample_bylevel=None, colsample_bynode=None,
colsample_bytree=None, early_stopping_rounds=None,
enable_categorical=False, eval_metric='logloss',
feature_types=None, gamma=None, gpu_id=None, grow_policy=None,
importance_type=None, interaction_constraints=None,
learning_rate=None, max_bin=None, max_cat_threshold=None,
max_cat_to_onehot=None, max_delta_step=None, max_depth=None,
max_leaves=None, min_child_weight=None, missing=nan,
monotone_constraints=None, n_estimators=100, n_jobs=None,
num_parallel_tree=None, predictor=None, random_state=1, ...)
# Create confusion matrix based on test data set
make_confusion_matrix(xg_boost)
# Check performance of model on both training and test data sets
perf_xg_boost = get_metrics_score(xg_boost)
perf_xg_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.829782 | 0.925482 | 0.835673 | 0.878287 |
| Test | 0.738619 | 0.854496 | 0.780677 | 0.815920 |
# Choose type of classifier
tnd_xg_boost = XGBClassifier(eval_metric="logloss", random_state=1)
# Form grid of parameters to search in
grid_para = {
"subsample": [0.8, 1.0],
"scale_pos_weight": [1, 2],
"gamma": [3, 5],
"colsample_bytree": [0.8, 1.0],
"colsample_bylevel": [0.8, 1.0],
"n_estimators": [50, 100],
"learning_rate": [0.1, 0.2],
}
# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(tnd_xg_boost, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
tnd_xg_boost = grid_obj.best_estimator_
# Fit best decision tree to training data
tnd_xg_boost.fit(X_train, y_train)
Fitting 5 folds for each of 128 candidates, totalling 640 fits [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.2s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.2s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.2s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.809 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.2s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.2s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.2s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.820 total time= 0.2s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.2s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time= 0.2s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.811 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.809 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 0.7s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.824 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.814 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.2s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.2s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.2s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.2s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.2s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.2s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time= 0.2s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.2s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.820 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.808 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.5s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.813 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.7s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.7s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.8s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.5s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.813 total time= 0.5s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.5s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.5s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.813 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.828 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.828 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.804 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.810 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.9s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.808 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.7s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time= 0.7s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.4s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.4s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time= 0.4s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.4s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.4s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.4s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.4s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.4s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.821 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time= 0.4s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.4s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.7s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.7s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.7s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.7s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.7s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.7s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.813 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.4s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time= 0.4s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time= 0.4s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.4s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.4s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.4s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.808 total time= 0.7s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.7s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.820 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time= 0.7s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.7s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.8s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.7s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.809 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.823 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.823 total time= 0.6s [CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.813 total time= 0.6s [CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.6s [CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.4s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.9s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.8s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.7s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.7s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.7s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.4s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.4s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time= 0.4s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.807 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.808 total time= 0.7s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 0.7s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.809 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.5s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.814 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.824 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.7s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.7s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.7s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.808 total time= 0.7s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.820 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.823 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.7s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.5s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time= 0.5s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.5s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.5s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.8s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.5s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.5s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.4s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time= 0.4s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.4s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.5s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time= 0.4s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.8s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.9s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.8s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.7s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.7s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time= 0.7s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.7s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.810 total time= 0.7s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.7s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.820 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.4s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.4s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.829 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.828 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.809 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.810 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.824 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.7s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.7s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.829 total time= 0.9s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.814 total time= 0.8s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.7s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time= 0.4s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.4s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.813 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.825 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.818 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time= 0.7s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 1.1s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.7s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time= 0.7s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.821 total time= 1.0s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.813 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.3s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.824 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.3s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.3s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.4s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.3s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.3s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time= 0.8s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time= 0.8s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.8s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time= 0.8s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.828 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time= 0.6s [CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.811 total time= 0.6s [CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.6s [CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time= 0.6s [CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time= 0.6s [CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time= 0.6s
XGBClassifier(base_score=None, booster=None, callbacks=None,
colsample_bylevel=1.0, colsample_bynode=None,
colsample_bytree=1.0, early_stopping_rounds=None,
enable_categorical=False, eval_metric='logloss',
feature_types=None, gamma=5, gpu_id=None, grow_policy=None,
importance_type=None, interaction_constraints=None,
learning_rate=0.1, max_bin=None, max_cat_threshold=None,
max_cat_to_onehot=None, max_delta_step=None, max_depth=None,
max_leaves=None, min_child_weight=None, missing=nan,
monotone_constraints=None, n_estimators=50, n_jobs=None,
num_parallel_tree=None, predictor=None, random_state=1, ...)
XGBClassifier(base_score=None, booster=None, callbacks=None, colsample_bylevel=1.0, colsample_bynode=None, colsample_bytree=1.0, early_stopping_rounds=None, enable_categorical=False, eval_metric='logloss', feature_types=None, gamma=5, gpu_id=None, grow_policy=None, importance_type=None, interaction_constraints=None, learning_rate=0.1, max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None, max_delta_step=None, max_depth=None, max_leaves=None, min_child_weight=None, missing=nan, monotone_constraints=None, n_estimators=50, n_jobs=None, num_parallel_tree=None, predictor=None, random_state=1, ...)
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_xg_boost)
# Check performance of model on both training and test data sets
perf_tnd_xg_boost = get_metrics_score(tnd_xg_boost)
perf_tnd_xg_boost
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.759643 | 0.873099 | 0.787712 | 0.828211 |
| Test | 0.751308 | 0.862215 | 0.790097 | 0.824582 |
All the parameter values have been reduced in hyper parameter tuning for XG boost
print(pd.DataFrame(tnd_xg_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp education_of_employee_High School 0.347332 has_job_experience_Y 0.131491 education_of_employee_Master's 0.070672 education_of_employee_Doctorate 0.061784 unit_of_wage_Year 0.059541 continent_Europe 0.054630 region_of_employment_Northeast 0.031589 region_of_employment_Midwest 0.029913 region_of_employment_South 0.029320 region_of_employment_West 0.029284 prevailing_wage 0.024907 full_time_position_Y 0.023557 continent_North America 0.020174 continent_Oceania 0.017595 requires_job_training_Y 0.014843 continent_South America 0.014068 continent_Asia 0.013410 yr_of_estab 0.010199 no_of_employees 0.010118 unit_of_wage_Month 0.005572 unit_of_wage_Week 0.000000
feature_names = X_train.columns
importances = tnd_xg_boost.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()
Education(High school, masters, doctorate) , job experience , wage_year are top important features. We can notice that prevailing wage is no longer in top 5 important features
# Use function XGBClassifier from sklearn to build model
stacking = StackingClassifier(
estimators=[
("Decision Tree", dtree_tuned),
("Random Forest", rf_tuned),
("AdaBoost", tnd_ada_boost),
("Gradient Boosting", tnd_grdnt_boost),
],
final_estimator=tnd_xg_boost,
)
stacking.fit(X_train, y_train)
StackingClassifier(estimators=[('Decision Tree',
DecisionTreeClassifier(max_depth=4,
max_leaf_nodes=14,
min_impurity_decrease=0.0001,
min_samples_split=200,
random_state=1)),
('Random Forest',
RandomForestClassifier(max_depth=4,
max_features='sqrt',
max_samples=0.9,
min_samples_split=100,
n_estimators=80,
oob_score=True,
random_state=1)),
('AdaBoost',
AdaBoostClass...
gpu_id=None, grow_policy=None,
importance_type=None,
interaction_constraints=None,
learning_rate=0.1,
max_bin=None,
max_cat_threshold=None,
max_cat_to_onehot=None,
max_delta_step=None,
max_depth=None,
max_leaves=None,
min_child_weight=None,
missing=nan,
monotone_constraints=None,
n_estimators=50, n_jobs=None,
num_parallel_tree=None,
predictor=None, random_state=1, ...))
# Create confusion matrix based on test data set
make_confusion_matrix(stacking)
# Check performance of model on both training and test data sets
perf_stacking = get_metrics_score(stacking)
perf_stacking
| Accuracy | Recall | Precision | F1 | |
|---|---|---|---|---|
| Training | 0.752803 | 0.869804 | 0.782117 | 0.823633 |
| Test | 0.750392 | 0.863566 | 0.788407 | 0.824277 |
# Create a data frame with summary of model performance on training data set
perf_train = pd.concat(
[
perf_dcsn_tree.loc["Training"].T,
perf_tnd_dcsn_tree.loc["Training"].T,
perf_bagging.loc["Training"].T,
perf_tnd_bagging.loc["Training"].T,
perf_rf_tree.loc["Training"].T,
perf_tnd_rndm_frst.loc["Training"].T,
perf_ada_boost.loc["Training"].T,
perf_tnd_ada_boost.loc["Training"].T,
perf_grdnt_boost.loc["Training"].T,
perf_tnd_grdnt_boost.loc["Training"].T,
perf_xg_boost.loc["Training"].T,
perf_tnd_xg_boost.loc["Training"].T,
perf_stacking.loc["Training"].T,
],
axis=1,
)
perf_train.columns = [
"Decision Tree",
"Tuned Decision Tree",
"Bagging",
"Tuned Bagging",
"Random Forest",
"Tuned Random Forest",
"AdaBoost",
"Tuned AdaBoost",
"Gradient Boosting",
"Tuned Gradient Boosting",
"XGBoost",
"Tuned XGBoost",
"Stacking",
]
print("Model Performance Comparison for Training Data Set:")
perf_train
Model Performance Comparison for Training Data Set:
| Decision Tree | Tuned Decision Tree | Bagging | Tuned Bagging | Random Forest | Tuned Random Forest | AdaBoost | Tuned AdaBoost | Gradient Boosting | Tuned Gradient Boosting | XGBoost | Tuned XGBoost | Stacking | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Accuracy | 1.0 | 0.733404 | 0.984750 | 0.996244 | 0.999944 | 0.732732 | 0.736880 | 0.752915 | 0.755382 | 0.747309 | 0.829782 | 0.759643 | 0.752803 |
| Recall | 1.0 | 0.914329 | 0.986059 | 0.999747 | 1.000000 | 0.920581 | 0.886110 | 0.882224 | 0.875972 | 0.892700 | 0.925482 | 0.873099 | 0.869804 |
| Precision | 1.0 | 0.743116 | 0.990915 | 0.994620 | 0.999916 | 0.740067 | 0.758187 | 0.776068 | 0.781724 | 0.765486 | 0.835673 | 0.787712 | 0.782117 |
| F1 | 1.0 | 0.819880 | 0.988481 | 0.997177 | 0.999958 | 0.820513 | 0.817172 | 0.825748 | 0.826168 | 0.824213 | 0.878287 | 0.828211 | 0.823633 |
# Create a data frame with summary of model performance on training data set
perf_test = pd.concat(
[
perf_dcsn_tree.loc["Test"].T,
perf_tnd_dcsn_tree.loc["Test"].T,
perf_bagging.loc["Test"].T,
perf_tnd_bagging.loc["Test"].T,
perf_rf_tree.loc["Test"].T,
perf_tnd_rndm_frst.loc["Test"].T,
perf_ada_boost.loc["Test"].T,
perf_tnd_ada_boost.loc["Test"].T,
perf_grdnt_boost.loc["Test"].T,
perf_tnd_grdnt_boost.loc["Test"].T,
perf_xg_boost.loc["Test"].T,
perf_tnd_xg_boost.loc["Test"].T,
perf_stacking.loc["Test"].T,
],
axis=1,
)
perf_test.columns = [
"Decision Tree",
"Tuned Decision Tree",
"Bagging",
"Tuned Bagging",
"Random Forest",
"Tuned Random Forest",
"AdaBoost",
"Tuned AdaBoost",
"Gradient Boosting",
"Tuned Gradient Boosting",
"XGBoost",
"Tuned XGBoost",
"Stacking",
]
print("Model Performance Comparison for Test Data Set:")
perf_test
Model Performance Comparison for Test Data Set:
| Decision Tree | Tuned Decision Tree | Bagging | Tuned Bagging | Random Forest | Tuned Random Forest | AdaBoost | Tuned AdaBoost | Gradient Boosting | Tuned Gradient Boosting | XGBoost | Tuned XGBoost | Stacking | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Accuracy | 0.660911 | 0.739011 | 0.705128 | 0.735086 | 0.730638 | 0.739534 | 0.738488 | 0.747776 | 0.750392 | 0.747776 | 0.738619 | 0.751308 | 0.750392 |
| Recall | 0.739483 | 0.910459 | 0.779622 | 0.880741 | 0.841760 | 0.921266 | 0.885951 | 0.873408 | 0.868391 | 0.886916 | 0.854496 | 0.862215 | 0.863566 |
| Precision | 0.755223 | 0.755001 | 0.784161 | 0.764361 | 0.778790 | 0.750983 | 0.765294 | 0.780614 | 0.785889 | 0.773998 | 0.780677 | 0.790097 | 0.788407 |
| F1 | 0.747270 | 0.825475 | 0.781885 | 0.818435 | 0.809051 | 0.827455 | 0.821215 | 0.824408 | 0.825083 | 0.826619 | 0.815920 | 0.824582 | 0.824277 |
# Plot tuned tree
plt.figure(figsize=(35, 10))
plot_tree(
decision_tree=dtree_tuned,
feature_names=col_names,
filled=True,
fontsize=10,
node_ids=True,
class_names=True,
)
[Text(0.5648148148148148, 0.9, 'node #0\neducation_of_employee_High School <= 0.5\ngini = 0.446\nsamples = 17836\nvalue = [6000, 11836]\nclass = y[1]'), Text(0.2962962962962963, 0.7, 'node #1\nhas_job_experience_Y <= 0.5\ngini = 0.408\nsamples = 15429\nvalue = [4401, 11028]\nclass = y[1]'), Text(0.14814814814814814, 0.5, 'node #3\nunit_of_wage_Year <= 0.5\ngini = 0.483\nsamples = 6509\nvalue = [2663, 3846]\nclass = y[1]'), Text(0.07407407407407407, 0.3, 'node #5\neducation_of_employee_Doctorate <= 0.5\ngini = 0.434\nsamples = 851\nvalue = [580, 271]\nclass = y[0]'), Text(0.037037037037037035, 0.1, 'node #21\ngini = 0.42\nsamples = 793\nvalue = [555, 238]\nclass = y[0]'), Text(0.1111111111111111, 0.1, 'node #22\ngini = 0.49\nsamples = 58\nvalue = [25, 33]\nclass = y[1]'), Text(0.2222222222222222, 0.3, 'node #6\ncontinent_Europe <= 0.5\ngini = 0.465\nsamples = 5658\nvalue = [2083, 3575]\nclass = y[1]'), Text(0.18518518518518517, 0.1, 'node #9\ngini = 0.484\nsamples = 4753\nvalue = [1945, 2808]\nclass = y[1]'), Text(0.25925925925925924, 0.1, 'node #10\ngini = 0.258\nsamples = 905\nvalue = [138, 767]\nclass = y[1]'), Text(0.4444444444444444, 0.5, 'node #4\nprevailing_wage <= 956.441\ngini = 0.314\nsamples = 8920\nvalue = [1738, 7182]\nclass = y[1]'), Text(0.37037037037037035, 0.3, "node #7\neducation_of_employee_Master's <= 0.5\ngini = 0.5\nsamples = 489\nvalue = [252, 237]\nclass = y[0]"), Text(0.3333333333333333, 0.1, 'node #15\ngini = 0.473\nsamples = 310\nvalue = [191, 119]\nclass = y[0]'), Text(0.4074074074074074, 0.1, 'node #16\ngini = 0.449\nsamples = 179\nvalue = [61, 118]\nclass = y[1]'), Text(0.5185185185185185, 0.3, "node #8\neducation_of_employee_Master's <= 0.5\ngini = 0.29\nsamples = 8431\nvalue = [1486, 6945]\nclass = y[1]"), Text(0.48148148148148145, 0.1, 'node #11\ngini = 0.362\nsamples = 4650\nvalue = [1104, 3546]\nclass = y[1]'), Text(0.5555555555555556, 0.1, 'node #12\ngini = 0.182\nsamples = 3781\nvalue = [382, 3399]\nclass = y[1]'), Text(0.8333333333333334, 0.7, 'node #2\ncontinent_North America <= 0.5\ngini = 0.446\nsamples = 2407\nvalue = [1599, 808]\nclass = y[0]'), Text(0.7407407407407407, 0.5, 'node #13\nprevailing_wage <= 4166.81\ngini = 0.426\nsamples = 2112\nvalue = [1461, 651]\nclass = y[0]'), Text(0.6666666666666666, 0.3, 'node #19\ncontinent_South America <= 0.5\ngini = 0.294\nsamples = 257\nvalue = [211, 46]\nclass = y[0]'), Text(0.6296296296296297, 0.1, 'node #25\ngini = 0.255\nsamples = 227\nvalue = [193, 34]\nclass = y[0]'), Text(0.7037037037037037, 0.1, 'node #26\ngini = 0.48\nsamples = 30\nvalue = [18, 12]\nclass = y[0]'), Text(0.8148148148148148, 0.3, 'node #20\ncontinent_South America <= 0.5\ngini = 0.44\nsamples = 1855\nvalue = [1250, 605]\nclass = y[0]'), Text(0.7777777777777778, 0.1, 'node #23\ngini = 0.434\nsamples = 1787\nvalue = [1219, 568]\nclass = y[0]'), Text(0.8518518518518519, 0.1, 'node #24\ngini = 0.496\nsamples = 68\nvalue = [31, 37]\nclass = y[1]'), Text(0.9259259259259259, 0.5, 'node #14\nhas_job_experience_Y <= 0.5\ngini = 0.498\nsamples = 295\nvalue = [138, 157]\nclass = y[1]'), Text(0.8888888888888888, 0.3, 'node #17\ngini = 0.45\nsamples = 126\nvalue = [83, 43]\nclass = y[0]'), Text(0.9629629629629629, 0.3, 'node #18\ngini = 0.439\nsamples = 169\nvalue = [55, 114]\nclass = y[1]')]
dtree_tuned
DecisionTreeClassifier(max_depth=4, max_leaf_nodes=14,
min_impurity_decrease=0.0001, min_samples_split=200,
random_state=1)
# Check importances of various features of tuned tree
importances = dtree_tuned.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(6, 0.5 * len(col_names)))
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [col_names[i] for i in indices])
plt.xlabel("Relative Importance", fontsize=15)
plt.ylabel("Feature", fontsize=15)
plt.show()
Almost all the classifiers perform similarly, but the Tuned Gradient Boosting model slightly outperforms other models in terms of F1-score - it provided the maximum F1-score of 0.822 on the test data. Overall, the features education_of_employee, has_job_experience, and unit_of_wage_Year are among the top four important variables affecting the visa certification likelihood. Other variables of importance is continent_Europe. According to the final selected model, i.e., Tuned Decision Tree: The top four variables of importance when predicting a visa certification are education_of_employee, has_job_experience, unit_of_wage_Year, prevailing_wage and continent_Europe.
The applicants meeting the following criteria have high chances of visa certification: